Evidence map›Paper›PMID 41981272›Full record

ArticleAbdominal radiology (New York)2026

CT imaging features as predictors of homologous recombination deficiency and prognosis in high-grade serous ovarian cancer.

Seii Kojo, Akiyo Takada, Hajime Yokota, Satoyo Otsuka, Ayumu Matsuoka, Kyoko Nishikimi, Shinichi Tate, Hiroki Yoshida, Haruto Sugawara, Sakie Namba and 3 more

Abstract read
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Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Seii Kojo *Department of Radiology, Chiba University Hospital, Chiba, Japan.
Akiyo Takada *Diagnostic Radiology and Radiation Oncology, Chiba University Graduate School of Medicine, Chiba, Japan. r10.aa.0826@gmail.com.
Hajime YokotaDiagnostic Radiology and Radiation Oncology, Chiba University Graduate School of Medicine, Chiba, Japan.
Satoyo OtsukaDepartment of Gynecology, Chiba University Graduate School of Medicine, Chiba, Japan.
Ayumu MatsuokaDepartment of Gynecology, Chiba University Graduate School of Medicine, Chiba, Japan.
Kyoko NishikimiDepartment of Gynecology, Chiba University Graduate School of Medicine, Chiba, Japan.
Shinichi TateDepartment of Gynecology, Chiba University Graduate School of Medicine, Chiba, Japan.
Hiroki YoshidaData Seed Inc., Tokyo, Japan.
Haruto SugawaraDepartment of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada.
Sakie NambaDiagnostic Radiology and Radiation Oncology, Chiba University Graduate School of Medicine, Chiba, Japan.
Takuro HorikoshiDepartment of Radiology, Chiba University Hospital, Chiba, Japan.
Katsuhiro NasuDepartment of Radiology, Chiba University Hospital, Chiba, Japan.
Takashi UnoDiagnostic Radiology and Radiation Oncology, Chiba University Graduate School of Medicine, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the association between preoperative CT imaging features and homologous recombination deficiency (HRD) status in patients with high-grade serous ovarian cancer (HGSOC), and to assess their prognostic implications.

methodsThis retrospective study included 125 patients with stage III-IV HGSOC who underwent preoperative contrast-enhanced CT and BRCA/HRD testing. CT features, including the morphology of ovarian lesions and the location or characteristics of peritoneal dissemination, were evaluated by radiologists who were blinded to the genetic status. Associations between CT features and BRCA/HRD status were evaluated using logistic regression. Kaplan-Meier analysis and multivariate Cox regression were used to evaluate associations with progression-free survival (PFS).

resultsOut of 125 patients (mean age, 62.5 +/- 10.7 years [standard deviation]), 75 patients were HRD-positive. HRD-positive status was significantly associated with a nodular PD pattern and absence of small bowel mesenteric involvement. A combined CT feature-based classification incorporating these two features yielded a sensitivity of 40.0%, specificity of 88.0%, and accuracy of 68.8% for predicting HRD positivity. This classification was also significantly associated with PFS (p = 0.022). In contrast, no significant association was observed between PD pattern and BRCA mutation status. Upper abdominal dissemination was more frequent in BRCA wild-type cases.

conclusionCT imaging features were associated with HRD status and prognosis in HGSOC, and the proposed CT-based classification showed fair discriminatory performance.

Indexed as

Cystadenocarcinoma, SerousHomologous RecombinationOvarian NeoplasmsTomography, X-Ray ComputedAgedContrast MediaFemaleHumansMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisRetrospective StudiesSensitivity and SpecificityContrast MediaBRCAComputed tomographyHigh-grade serous ovarian cancerHomologous recombination deficiencyPeritoneal dissemination

Identifiers

PMID41981272
PMCPMC13578093

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.